Uncertainty models for stochastic optimization in renewable energy applications
With the rapid surge of renewable energy integrations into the electrical grid, the main
questions remain; how do we manage and operate optimally these surges of fluctuating …
questions remain; how do we manage and operate optimally these surges of fluctuating …
Modeling and control of building-integrated microgrids for optimal energy management–a review
H Fontenot, B Dong - Applied Energy, 2019 - Elsevier
This paper reviews the system components, modeling, and control of microgrids for future
smart buildings in current literature. Microgrids are increasingly widely studied due to their …
smart buildings in current literature. Microgrids are increasingly widely studied due to their …
[PDF][PDF] 利用储能系统实现可再生能源微电网灵活安全运行的研究综述
刘畅， 卓建坤， 赵东明， 李水清， 陈景硕… - 中国电机工程 …, 2020 - mool.njust.edu.cn
储能技术是保证微电网稳定运行的关键技术手段, 也是推动可再生能源微电网技术广泛应用的
重要措施之一. 该文从可再生能源微电网技术特点出发, 对储能系统在微电网中的作用, 分类 …
重要措施之一. 该文从可再生能源微电网技术特点出发, 对储能系统在微电网中的作用, 分类 …
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach
Y Li, K Li, Z Yang, Y Yu, R Xu, M Yang - Journal of Cleaner Production, 2022 - Elsevier
In the context of transition towards cleaner and sustainable energy production, microgrids
have become an effective way for tackling environmental pollution and energy crisis issues …
have become an effective way for tackling environmental pollution and energy crisis issues …
Robust optimization of microgrid based on renewable distributed power generation and load demand uncertainty
J Yang, C Su - Energy, 2021 - Elsevier
The uncertainty of renewable distributed energy (photovoltaic, wind power, etc.) and load
demand in the microgrid poses challenges to the economy and safety of microgrid …
demand in the microgrid poses challenges to the economy and safety of microgrid …
Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning
Dynamic energy dispatch is an integral part of the operation optimization of integrated
energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit …
energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit …
Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting
L Wen, K Zhou, S Yang, X Lu - Energy, 2019 - Elsevier
A deep recurrent neural network with long short-term memory units (DRNN-LSTM) model is
developed to forecast aggregated power load and the photovoltaic (PV) power output in …
developed to forecast aggregated power load and the photovoltaic (PV) power output in …
Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming
Abstract Energy Management System (EMS) applications of modern power networks like
microgrids have to respond to a number of stringent challenges due to current energy …
microgrids have to respond to a number of stringent challenges due to current energy …
A two-stage distributionally robust optimization model for P2G-CCHP microgrid considering uncertainty and carbon emission
Z Siqin, DX Niu, X Wang, H Zhen, MY Li, J Wang - Energy, 2022 - Elsevier
The utilization of energy efficient combined cooling heat and power (CCHP) microgrid
systems provide an opportunity for us to considering both the increase of economic benefits …
systems provide an opportunity for us to considering both the increase of economic benefits …
An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties
Y Li, F Zhang, Y Li, Y Wang - Energy, 2021 - Elsevier
The combined cooling, heating and power (CCHP) microgrid has the advantages of
promoting cleaner production and improving energy utilization efficiency. With the …
promoting cleaner production and improving energy utilization efficiency. With the …